code: def test_normal_relu_correctness(self):
      relu_layer = relu.ReLU(
          max_value=10, negative_slope=0.0, threshold=0
      )
      input = np.array([-10, -5, 0.0, 5, 10])
      expected_output = np.array([0.0, 0.0, 0.0, 5.0, 10.0])
      result = relu_layer(input)
      self.assertAllClose(result, expected_output)
  
file_path: keras/keras/layers/activations/relu_test.py
imports: import numpy
  import pytest
  from keras import testing
  from keras.layers.activations import relu
label_desc: Use image node_id 2 for calling the ReLUTest obj's underlying member method code with example usage: obj.test_normal_relu_correctness() without return types